{"id":"W2471332019","doi":"10.1016/j.jff.2016.06.011","title":"Biophysical and in vitro absorption studies of iron chelating peptide from barley proteins","year":2016,"lang":"en","type":"article","venue":"Journal of Functional Foods","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology; University of Alberta","funders":"Alberta Innovates Bio Solutions; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alberta Crop Industry Development Fund","keywords":"Isothermal titration calorimetry; Chemistry; Tripeptide; Peptide; Hydrolysate; Ferritin; Biochemistry; Absorption (acoustics); In vitro; Chelation; Pepsin; Amino acid; Caco-2; Chromatography; Enzyme; Inorganic chemistry; Hydrolysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614988,0.0002268376,0.0001636018,0.00008763118,0.000225975,0.0002142505,0.0002209394,0.0002372995,0.0008811358],"category_scores_gemma":[0.0004304053,0.0001442396,0.0002129052,0.0001788787,0.0002021262,0.00021726,0.000103467,0.0006565768,0.0002015899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003505992,"about_ca_system_score_gemma":0.0001671264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055212,"about_ca_topic_score_gemma":0.001095575,"domain_scores_codex":[0.9998932,0.00002450708,0.000008276304,0.00001858304,0.00002015618,0.00003535831],"domain_scores_gemma":[0.9997937,0.00009195152,0.00003321782,0.00001506264,0.00003593251,0.00003010991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000136913,0.00002068852,0.0001437801,0.00001886581,0.000003269044,0.00005076513,0.0000404265,0.00007280748,0.9991278,0.00003767316,0.00002123779,0.0003257663],"study_design_scores_gemma":[0.00001513614,0.0001324586,0.006724994,0.000004756149,0.00001316445,0.0001916967,0.0000776389,0.0009837328,0.9907636,0.00005540829,0.001031132,0.000006326301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973121,0.000365261,0.001313289,0.00009556267,0.00001540044,0.000008468553,0.0001049226,0.00000806419,0.0007769491],"genre_scores_gemma":[0.9954634,0.0002965463,0.001119928,0.0000628062,0.00001286308,0.00001316143,0.0004616111,0.00001569186,0.002554083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002055212,"threshold_uncertainty_score":0.004086554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022257280943401,"score_gpt":0.2638684732159687,"score_spread":0.2416111922725677,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}